Adaptive Smart Money Liquidity Sweep Levels [AlgoAlpha]🟠 OVERVIEW
Adaptive Smart Money Liquidity Levels tracks liquidity resting above and below price by detecting swing highs and lows across multiple lookback periods. Instead of displaying every historical level equally, it stores active liquidity zones, updates them over time, and removes them once price mitigates them.
The indicator also estimates the amount of liquidity accumulated around nearby levels using traded volume. This information is displayed through level opacity, a near-range liquidity balance chart, and an orderbook-style liquidity depth profile to provide context around where liquidity is concentrated.
🟠 CONCEPTS
Liquidity Level — Swing highs and swing lows detected from fast, medium, and slow lookback windows. Nearby levels are merged together to reduce duplicate levels. These levels are used to estimate the location of stop-loss orders, and volume + candle direction are used to estimate the buying/selling (and thus concentration of stop-loss orders) to determine the magnitude of orders at these levels.
Liquidity Depth — Volume is assigned to the nearest active liquidity levels based on candle direction and configurable distance weighting. The accumulated volume forms a depth profile around current price.
Mass Liquidation — Triggered when a candle body moves through two or more active liquidity levels on the same side, indicating multiple liquidity pools were cleared within a single move.
Stop-runs and Liquidity Dynamics — This script takes advantage of the concept of resting limit orders, and resting stop-loss orders. When a bar wicks a liquidity level instead of strongly trading through it, it implies a stronger amount of opposing pressure from both limit and market-orders than the pressure coming from clustered stop-losses, preventing a stop run and signalling a higher chance of that level holding and potentially a rebound. In simple terms, this indicator can be used as part of ICT and Smart Monet Concepts to help better understand a real liquidity sweep (marked by ▲▼) vs liquidation events (marked by highlighted candles) as both events usually require vastly different actions to capitalize on correctly.
🟠 FEATURES
Adaptive Liquidity Levels . Displays the nearest active liquidity above and below price.
• Level opacity increases as more volume accumulates.
• Levels automatically disappear after mitigation or when they exceed the selected maximum age.
• Levels represent accumulating stop loss orders as more trades occur (using volume and candle direction to estimate market orders)
Near Range Liquidity Balance . Shows the relative liquidity accumulated of the 3 nearest levels above and below current price using a two-column comparison chart.
Liquidity Depth Curve . Draws an orderbook-style cumulative depth profile beside price to visualize how liquidity builds further away from the current market.
Liquidation And Sweep Signals . Highlights candles that clear multiple liquidity levels and marks wick-only liquidity sweeps with directional markers.
🟠 HOW TO USE
Monitor liquidation labels and wick sweep markers to distinguish between full liquidity removals and liquidity that was only briefly tested. Liquidity removals imply weak levels while those that were wicked imply strong concentration of limit orders, useful for planning where to place stop losses or to time trade entries.
Watch the nearest liquidity levels to identify where resting liquidity is currently concentrated around price.
Compare the Near Range Liquidity Balance to see whether more liquidity is currently stacked above or below the market.
Use the Liquidity Depth Curve to estimate how liquidity changes as price moves further away from its current location.
🟠 CONCLUSION
Adaptive Smart Money Liquidity Levels combines multi-scale liquidity detection, volume-weighted liquidity accumulation, and mitigation tracking into a single view. By displaying active liquidity, nearby liquidity balance, and cumulative liquidity depth together, it provides additional context for where price is interacting with resting stop orders and how that structure changes over time. A key detail to note is that this script estimates the position and concentration of orders with proxies like swing levels and volume, and that the levels represent stop-loss orders, not limit orders. インジケーター
Leverage Pressure Map [BOSWaves]Leverage Pressure Map - Volume-Weighted Liquidation Level Projection with Thermal Heatmap Visualization
Overview
Leverage Pressure Map is a leveraged position liquidation estimation system that projects where open leveraged positions would be force-liquidated based on current price and volume activity, where heatmap intensity, level density, and distribution sidebar are driven by accumulated volume-weighted contract estimates at each price band rather than arbitrary fixed grid overlays or static percentage calculations.
Instead of displaying a generic liquidation grid at fixed intervals, the system builds its heatmap organically from price action, projecting liquidation zones from each bar's close in the direction that would liquidate the positions opened on that bar, weighting each level by the bar's volume and by the leverage multiple configured, and accumulating contract estimates over time to reveal where the greatest concentration of leveraged exposure has built up relative to current price.
This creates a continuously evolving pressure map where bands closest to price reflect the most recently opened leveraged positions, higher-leverage bands cluster tighter to price than lower-leverage equivalents, thermal coloring from the base color through yellow to white reveals the most dangerous liquidation clusters at a glance, and a sidebar distribution profile summarizes the full pressure landscape across the visible price range in a compact bar chart.
Price is therefore evaluated not just directionally but against a constantly updating picture of where forced selling and forced buying from leveraged liquidations is likely to cascade if price reaches those levels.
Conceptual Framework
Leverage Pressure Map is founded on the principle that leveraged market participation leaves a predictable spatial footprint in price space, and that estimating the distribution of that footprint from volume and price data provides actionable information about where cascading liquidation events are most likely to concentrate.
In leveraged markets, positions opened at any given price carry a liquidation distance determined by their leverage multiple. A 100x long position opened at the close of a bullish bar will liquidate approximately one percent below that close. A 10x position will liquidate approximately ten percent below. By projecting these distances from the close of each bar, weighting by volume as a proxy for participation size, and accumulating those estimates across all recent bars, the map builds a statistical picture of where the most leveraged exposure is concentrated without requiring access to exchange order book data.
Three core principles guide the design:
Liquidation levels should be projected from the close of each directional bar at the mathematically correct distance for each configured leverage multiple, weighted by volume to reflect the relative size of participation at each price point.
Thermal coloring should normalize all levels against the global maximum contract estimate, producing a relative intensity map that immediately identifies the highest-pressure clusters regardless of absolute contract values.
A sidebar distribution profile should aggregate the full heatmap into a compact price-by-pressure bar chart, providing a summary view of the total liquidation landscape without requiring the full heatmap to be analyzed row by row.
This shifts market analysis from directional price reading into leveraged exposure mapping where the spatial distribution of forced liquidation risk is continuously estimated and visualized alongside price action.
Theoretical Foundation
The indicator combines per-bar liquidation price calculation for configurable leverage multiples, volume-weighted contract accumulation at snapped price bands, global maximum normalization for thermal color mapping, sweep detection for removing levels that price has already passed through, and a sidebar bin aggregation system that compresses all active levels into a configurable number of price rows for distribution visualization.
Liquidation prices for long positions are calculated as close multiplied by one minus one divided by leverage, projecting below the close at a distance inversely proportional to the leverage multiple. Short liquidation prices are calculated as close multiplied by one plus one divided by leverage, projecting above the close. Each projected price is snapped to the nearest band boundary defined by the tick-scaled level height, ensuring levels accumulate at consistent grid positions rather than scattering across continuous price space. Leverage weights are assigned proportionally, with higher leverage multiples receiving greater weight reflecting their more aggressive risk profile.
Four internal systems operate in tandem:
Liquidation Projection Engine : On each bar with volume, calculates liquidation prices for all configured leverage multiples in both directions, snaps each price to the nearest level band, and either adds contract weight to an existing band or creates a new band at that position.
Sweep and Extension System : On each bar, extends all active level bands rightward to the current bar and removes any long liquidation bands that price has fallen through or short liquidation bands that price has risen through, keeping the heatmap current with price movement.
Thermal Color Engine : Normalizes each level's accumulated contracts against the global maximum and maps the result through a four-stage thermal gradient that progresses from a transparent base color at low concentration through the full base color to yellow and finally to near-white at peak concentration.
Sidebar Distribution System : On the last bar, aggregates all active long and short liquidation levels into configurable price bins spanning the recent high-low range extended to cover all active levels, draws proportional horizontal bars for each bin based on its relative contract sum, and plots a peak level line at the highest-concentration bin.
This design allows the heatmap to build organically from price action while the sidebar provides a continuous summary view of the full liquidation pressure distribution.
How It Works
Leverage Pressure Map evaluates price through a sequence of projection and accumulation processes:
Level Band Sizing : The minimum tick multiplied by the configured level scale produces the height of each liquidation band, controlling the granularity of the pressure grid relative to the instrument's tick size.
Leverage Table Construction : On the first bar, enabled leverage multiples are loaded into arrays with their corresponding weights calculated as the leverage value divided by 25, giving higher leverage multiples proportionally greater contract weight.
Long Liquidation Projection : On each bullish bar with volume, the liquidation price for each enabled leverage multiple is calculated as close multiplied by one minus one divided by leverage. Each price is snapped to its level band and the bar's volume multiplied by the leverage weight is added to the band's contract accumulation.
Short Liquidation Projection : On each bearish bar with volume, the liquidation price for each enabled leverage multiple is calculated as close multiplied by one plus one divided by leverage. Each price is snapped and weighted identically to the long projection process.
Band Deduplication : When projecting to a band that already exists in the active level array, contracts are added to the existing band rather than creating a duplicate, building cumulative pressure at each price level over time.
Sweep Removal : Long liquidation levels with their bottom boundary at or below the current bar's low are deleted and removed from the array. Short liquidation levels with their top boundary at or above the current bar's high are deleted, reflecting that those positions have already been liquidated.
Global Maximum Normalization : The maximum contract accumulation across all active long and short levels is calculated and used to normalize every level's contracts to a 0-1 range for thermal color assignment.
Thermal Color Assignment : Normalized values above 0.85 receive near-white coloring. Values between 0.65 and 0.85 gradient from yellow to white. Values between 0.35 and 0.65 gradient from the base color to yellow. Values below 0.35 graduate from a highly transparent base color to the full base color, producing a four-stage thermal effect that intensifies with concentration.
Sidebar Construction : On the last bar, the price range spanning the 200-bar high-low extended to cover all active level extremes is divided into the configured number of rows. Each active level's midpoint determines its bin assignment and its contracts are added to that bin's sum. Bins are drawn as horizontal bars proportional to their relative sum, colored by whether they sit below or above current price.
Peak Level Rendering : The sidebar bin with the maximum contract sum has a horizontal line drawn across the full visible range and a price label placed to the right, marking the single level of highest total liquidation pressure across all active levels.
Together, these elements form a continuously updating liquidation pressure landscape where the heatmap exposes per-level concentration and the sidebar summarizes the full distribution in a single compact view.
Interpretation
Leverage Pressure Map should be interpreted as a probabilistic liquidation pressure distribution tool rather than a precise order book representation:
Heatmap Bands (Long, Teal) : Horizontal bands below price representing estimated long position liquidation levels. These levels would trigger forced selling if price declines to them, potentially amplifying downside momentum.
Heatmap Bands (Short, Red) : Horizontal bands above price representing estimated short position liquidation levels. These levels would trigger forced buying if price rises to them, potentially amplifying upside momentum.
Thermal Intensity : Band color intensity reflects the relative concentration of estimated contracts at each level. Near-white bands represent the highest-pressure clusters. Yellow bands represent elevated but secondary concentrations. Dimmer base-colored bands represent lower-pressure background levels.
Band Density Near Price : Higher leverage multiples project their liquidation distances closer to price, producing denser band clustering near current price. Wider spacing further from price reflects the lower leverage multiples that require larger adverse moves to trigger liquidation.
Sidebar Distribution : The horizontal bar chart to the right of price summarizes total liquidation pressure at each price level across both long and short levels, providing an immediate overview of where the greatest cumulative exposure sits without analyzing individual heatmap bands.
Peak Level Line : The horizontal white line drawn across the chart at the sidebar's maximum-pressure bin marks the single most concentrated liquidation level across the entire active heatmap, representing the price at which the greatest estimated volume of leveraged positions would be forced to close.
Swept Levels : When price passes through a band, the band is removed from the display, reflecting that those positions have already been liquidated and no longer represent pending pressure.
Heatmap thermal intensity, peak level proximity to current price, and sidebar distribution shape collectively provide more information about leveraged market risk than any element in isolation.
Signal Logic & Visual Cues
Leverage Pressure Map does not generate discrete buy or sell signals. Instead it provides a continuous spatial representation of estimated liquidation pressure with two primary reference outputs:
Peak Level Line : The highest-concentration liquidation level across the full active heatmap, updated on every bar, marking where a price move is most likely to encounter cascading forced position closures.
Thermal Intensity Clusters : Near-white or yellow bands identify areas of elevated liquidation pressure that price is approaching, providing anticipatory context for potential momentum amplification or absorption events as price enters high-concentration zones.
The sidebar distribution provides a continuous summary reference for assessing whether liquidation pressure is concentrated near price or distributed across a wide range, informing both directional bias and risk management decisions.
Strategy Integration
Leverage Pressure Map fits within liquidity-aware and leveraged market structure approaches:
Liquidation Cascade Target Identification : Use high-intensity heatmap clusters as anticipatory targets for directional moves, particularly in leveraged crypto or futures markets where cascade events frequently drive price to liquidation cluster levels before reversing.
Peak Level Reference : Monitor the peak level line as a dynamic reference for the single highest-concentration liquidation zone. Directional moves approaching this level may accelerate as they trigger forced closures and then reverse sharply once the liquidation cascade exhausts.
Pressure Asymmetry Analysis : Compare the density and intensity of long liquidation bands below price against short liquidation bands above price using the sidebar distribution. Greater pressure on one side suggests a directional bias toward the path that would trigger the larger cascade.
Momentum Amplification Context : Use thermal cluster proximity as a context layer for evaluating whether a developing directional move is approaching a zone that would amplify momentum through forced closures or whether the path ahead is relatively clear of concentrated liquidation pressure.
Leverage Multiple Configuration : Configure leverage multiples to reflect the typical leverage profile of the target market. Crypto perpetual markets with common 100x and 50x usage benefit from the default configuration while futures markets with lower typical leverage may be better represented by adjusting multiples toward 20x, 10x, and 5x.
Multi-Timeframe Pressure Context : Apply the indicator on a higher timeframe to establish the broader liquidation pressure landscape while using a lower timeframe for entry timing, ensuring directional decisions are informed by the macro liquidation distribution rather than only the immediate price vicinity.
Technical Implementation Details
Projection Engine : Per-leverage close-derived liquidation price calculation with mintick-scaled band snapping and volume-weighted contract accumulation
Data Structure : Custom type array management for long and short level arrays with deduplication on existing band addresses
Sweep System : Per-bar directional price breach testing with immediate band deletion and array removal for swept levels
Thermal Color : Four-stage normalized gradient from transparent base through full base color to yellow to near-white
Sidebar : Last-bar price-range bin aggregation with proportional width bars and peak bin identification
Peak Level : Highest sidebar bin horizontal line with price label updated on every last bar render
Performance Profile : Configurable maximum level count per side with oldest level removal enforcing object count management
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Intraday liquidation pressure mapping for scalping in high-leverage crypto markets with responsive level accumulation and fine level scale for precise cluster identification
15 - 60 min : Session-level pressure distribution monitoring with balanced level count and moderate scale for intraday cascade target identification
4H - Daily : Swing-level liquidation landscape mapping with higher level scale for broader band visibility across larger price ranges
Suggested Baseline Configuration:
Max Levels Per Side : 100
Level Scale : 50
Leverage 1 : 100
Leverage 2 : 50
Leverage 3 : 25
Leverage 4 : 10
Show Distribution : Enabled
Show Peak Level : Enabled
Sidebar Width : 20
Sidebar Rows : 75
These suggested parameters should be used as a baseline; their effectiveness depends on the typical leverage profile of the target market, instrument tick size, and preferred heatmap granularity, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Bands too thin to see : Increase Level Scale to produce taller bands that are more visible at normal zoom levels, accepting reduced price resolution in exchange for improved visual clarity.
Bands too thick and overlapping : Decrease Level Scale toward 10 for finer band resolution, producing a more precise pressure grid at the cost of reduced visual prominence per band.
Too many levels cluttering the chart : Reduce Max Levels Per Side to limit the number of active bands per direction, with the oldest levels removed first as the cap is enforced.
Heatmap not reflecting market's leverage profile : Adjust the four leverage multiples to match the typical leverage tiers used by participants in the target market. Setting a leverage multiple to zero disables that tier entirely.
Sidebar too narrow to read : Increase Sidebar Width to extend the maximum bar length of the distribution profile, making the relative pressure differences between price levels more visually distinguishable.
Sidebar resolution too coarse : Increase Sidebar Rows for finer price-level resolution in the distribution profile, producing more granular pressure mapping across the visible range.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
High-leverage perpetual crypto markets where 25x to 100x positions are common and liquidation cascade events regularly drive price to cluster levels before reversing
Futures markets with identifiable leverage tier participation where volume-weighted projection produces meaningful pressure estimates relative to actual open interest distribution
Momentum trading approaches where liquidation cluster proximity provides anticipatory context for potential acceleration or reversal around high-pressure zones
Risk management frameworks that benefit from understanding where cascading forced closures are most likely to amplify directional moves beyond fundamental price drivers
Reduced Effectiveness:
Spot-only markets without leverage participation where liquidation mechanics are absent and the projection model loses its theoretical basis
Low-volume instruments where volume-weighted contract estimates become unreliable due to thin and erratic participation
Markets with very low typical leverage where default leverage multiples project liquidation distances beyond the normal trading range, producing bands that are rarely relevant to near-term price action
Instruments with extreme tick sizes relative to their price where mintick-scaled band heights produce either excessively coarse or excessively granular level grids that do not align with meaningful price structure
Integration Guidelines
Confluence : Combine with BOSWaves order flow tools, structural indicators, or momentum oscillators to validate whether price approaching a high-intensity liquidation cluster is doing so with the participation and conviction needed to trigger a cascade
Peak Level Respect : Monitor price behavior approaching the peak level line as the highest-probability cascade trigger zone. Price reaching this level may accelerate sharply through it as cascading liquidations fire, then reverse once the forced closure sequence exhausts.
Pressure Side Awareness : Assess whether greater pressure sits above or below current price using the sidebar. A heavier distribution of short liquidation pressure above price suggests upside moves may be self-amplifying, while heavier long liquidation pressure below suggests downside moves may cascade further than directional indicators alone would imply.
Level Sweep Interpretation : When price sweeps through a concentration of bands and they are removed, interpret the clearing as a liquidation event having occurred. The subsequent behavior of price after clearing a major cluster is often directionally informative about whether the move was primarily liquidation-driven or backed by genuine directional conviction.
Model Limitations : This indicator estimates liquidation pressure from volume and price data and does not access exchange-level open interest, funding rates, or actual leveraged position data. All readings represent probabilistic estimates rather than verified exposure measurements and should be treated as context rather than precise quantitative inputs.
Disclaimer
Leverage Pressure Map is a professional-grade liquidation pressure estimation and visualization tool. It uses volume-weighted leverage projection with thermal heatmap rendering but does not access real exchange open interest data or actual leveraged position information. All liquidation level estimates are approximations derived from OHLCV data and configured leverage multiples. Results depend on market leverage profile, instrument volume characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates order flow context, structural analysis, and comprehensive risk management. インジケーター
Liquidity Heatmap MTF [JOAT]LIQUIDITY HEATMAP MTF
A weighted multi-timeframe liquidity-zone heatmap that aggregates pivot-based resting liquidity from up to four higher timeframes (1H / 4H / 1D / 1W by default), decays old pivots over a configurable half-life, and projects the resulting hot bins as a right-side colour strip plus optional horizontal lines that extend back across the chart so the key levels are visible on price. Adds an estimated liquidation-level layer on top — the price ranges where leveraged positions get unwound — and warns when price approaches one.
Why MTF aggregation matters
Single-timeframe liquidity maps miss the structural reality that institutional flow operates on multiple horizons simultaneously. A daily pivot high carries more resting liquidity than a 1H pivot high, but both contribute. Liquidity Heatmap MTF lets you turn on / off each of four timeframes (1H, 4H, 1D, 1W) independently and assign each a weight so the contribution to the heatmap is proportional to your conviction about how much that timeframe matters.
Defaults:
1H weight 1.0×
4H weight 1.5×
1D weight 2.5×
1W weight 4.0× (off by default; enable for macro reads)
Pivots are detected in each HTF context using configurable left/right lookbacks. Each pivot contributes intensity proportional to the volume traded on its bar (with optional log compression for instruments that have rare extreme prints).
Decay — half-life modelled
A pivot from 200 bars ago should not contribute equally to today's heatmap. The script applies an exponential decay:
intensity = volume × exp(−ln(2) × age / halfLife)
The Decay Half-Life input (default 180 bars) sets how quickly old pivots fade. After one half-life, an old pivot contributes half as much; after two, a quarter; and so on. This is the principled way to weight history — it never drops contributions discontinuously and it never lets ancient liquidity poison the current read.
Heatmap grid + hot-zone classification
The price range over the visible lookback (configurable, default 500 bars + 2% padding) is divided into N bins (default 60, capped at 200 by Pine's max_boxes_count). Each pivot's decayed intensity is accumulated into the bin closest to its level. Bins are then normalised against the hottest bin and any bin above the Hot Zone Threshold (default 70% of max) is tagged HOT.
The heatmap is rendered as a vertical strip on the right of the chart (configurable width and gap from latest bar) with bins coloured along a deep-ocean blue gradient — cold bins are near-invisible (transparency floor), hot bins are vivid cyan.
Hot-zone projection across chart (JOAT enhancement)
This is the headline visual: the top hot bins are projected back across the chart as horizontal lines (configurable count, default 5) with price labels, extending back a configurable number of bars (default 120). So you do not just see the heatmap as a right-side strip — you see the key levels on the chart at the price levels they actually occupy. Toggleable.
Estimated liquidation levels (the second layer)
On top of the liquidity heatmap, an optional liquidation layer estimates where leveraged positions get stopped out. Each significant HTF pivot extreme gets a projected liquidation level at:
liq_level = pivot ± (ATR × liqPad)
Configurable liqPad (default 0.5 ATR). Configurable caps on liquidation lines above (default 4) and below (default 4) the current price. Lines extend right by a configurable bar count. When price comes within liqAtrMult × ATR of a liquidation line, the !LIQ alert fires and the line is rendered in the accent colour (the only off-family colour in the palette — bright orange).
The liquidation logic is intentionally conservative — pivots provide the structural anchor; the ATR pad is the only configurable variable; lines are capped to avoid clutter.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Active timeframes and their weights.
Total pivots tracked.
Hottest bin price and intensity %.
Hot-zone count.
Liquidation lines above / below current price counts.
Distance (in ATR units) to nearest liquidation line.
Last hot-zone activation with bar-age.
Visual system
Heat strip (toggleable width / gap / transparency).
HOT tags on hottest bins (toggleable).
Optional strip border.
Horizontal hot-zone lines extending back across the chart (toggleable, capped, configurable length).
Liquidation level lines above and below (toggleable, capped).
LIQ labels (toggleable).
A locked Deep Ocean palette (bathypelagic blue gradient on near-black, with the bright orange #FF6B00 reserved exclusively for liquidation warnings) gives the chart a distinct institutional liquidity-map identity.
Alerts
Three alert conditions, each independently controllable, each cooldown-gated:
Hot Zone Activated — fires when a new bin crosses the hot threshold.
Approaching Liq Level — fires when price comes within liqAtrMult × ATR of a liquidation line.
New HTF Pivot Added — fires when a new HTF pivot is detected and added to the cache.
A configurable cooldown (default 8 bars) prevents back-to-back alert spam.
How to read it
Three reads, in order of conviction:
Approaching Liq Level alert — the most actionable single signal. Price is within striking distance of estimated leveraged-position stop-out levels. Liquidations tend to be self-fulfilling on the way in (cascade through stops) and exhaustive at the extreme (no more sellers / buyers left after the cascade).
Multi-timeframe hot zone — when a hot bin is contributed to by more than one HTF, it is by definition more significant. The hot line projections show you which levels are MTF-confluent.
New HTF Pivot in 1D or 1W context — these are the slowest-moving structural events. A new daily or weekly pivot reshapes the heatmap meaningfully.
Suggested settings
Defaults (1H/4H/1D enabled, weights 1.0/1.5/2.5, decay half-life 180, hot threshold 70%) are tuned for intraday-to-swing trading on liquid futures, FX, and crypto. For pure scalping, disable 1D / 1W and raise 1H weight. For pure macro, enable 1W and raise its weight; reduce 1H to 0.5×. The liqPad default 0.5× ATR is conservative — raise to 1.0× for more cautious liquidation projections.
Originality
The implementation — the MTF pivot aggregation pipeline with per-TF weights, the exponential half-life decay model, the bin-grid heatmap with hot-zone threshold, the cross-chart hot-line projection layer, the ATR-based liquidation level estimator with above/below caps, the cooldown-gated multi-alert engine, and the deep-ocean palette with the orange liquidation accent — is JOAT-original. No third-party code reused. The "liquidity map" concept comes from professional desks; the implementation here is purpose-built for Pine v6 with bar data only.
Limitations
Estimated liquidation levels are an inference from pivots and ATR — Pine cannot read actual leverage data or aggregated futures funding/open-interest. The lines mark where stop clusters are statistically likely to sit, not where they actually do. Pine's max_boxes_count caps the grid at 200 bins; the script clamps to 200 max even though the input allows higher requests. MTF pivots use request.security in non-lookahead mode, so they are non-repainting once confirmed at their HTF.
—
-made with passion by jackofalltrades
インジケーター
Mr. Market MakerMr. Market Maker (MR.MM)
Mr. Market Maker is an advanced technical analysis tool designed for traders following Smart Money Concepts (SMC) and institutional trading frameworks. It automates the complex process of identifying structural shifts in the market, specifically focusing on trend reversals and continuations using precision-calculated Gann levels.
Key Features:
Dynamic Market Structure Detection:
The script uses a sophisticated fractal-based algorithm to identify Pivot Highs and Lows. These levels serve as the foundation for institutional supply and demand zones.
Dual-Engine Setup Logic:
CHoCH Engine (Change of Character): Automatically detects when the market sentiment shifts from bullish to bearish (or vice versa), identifying high-probability reversal setups.
BOS Engine (Break of Structure): Tracks trend continuation signals, allowing traders to scale into positions during strong trending phases.
Both engines operate independently and can be toggled on/off based on your trading strategy.
Automated Gann Box Execution:
Upon a structural break, the script instantly draws a customized Gann Box. It highlights the 0.382 - 0.618 "Entry Zone", which is widely regarded as the optimal institutional discount/premium area for entries.
Real-Time Liquidity Mapping:
The indicator identifies and visualizes "Candidate" levels. These horizontal levels represent Sell-Side and Buy-Side Liquidity, providing you with dynamic targets and logical stop-loss placements.
Integrated Trend Filtering:
Includes a multi-type Moving Average filter (SMA, EMA, WMA, HMA, RMA) to ensure that your setups are always aligned with the macro trend, significantly reducing "fake-out" signals.
Smart Alert System:
A consolidated alert engine monitors both CHoCH and BOS setups. It triggers a notification the moment price enters the defined Entry Zone, ensuring you never miss a high-conviction trade.
Optimized Visual Management:
The "Show Last N" feature keeps your chart clean by managing object counts, while the "Sliding Update" logic ensures that active setups dynamically extend to the current price action.
Disclaimer
Trading involves significant risk of loss and is not suitable for every investor. The "Mr. Market Maker" indicator is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past performance is not indicative of future results. The developer and associated parties are not responsible for any financial losses incurred through the use of this script. Always perform your own due diligence, backtest thoroughly, and use appropriate risk management before trading with real capital. インジケーター
Liquidation Cascade Risk Map [AGPro Series]Liquidation Cascade Risk Map
🧠 Core Idea
When leverage pressure builds, is the market entering a real cascade-risk zone, or is liquidation pressure already cooling?
📌 Overview / What it does
Liquidation Cascade Risk Map is a crypto derivatives analysis tool designed to visualize liquidation-cascade risk without pretending to know exact exchange liquidation levels.
The script evaluates open interest data when available, falls back to a transparent volume-proxy mode when needed, and combines volatility expansion, range pressure, candle body stress, directional movement, and distance from reference structure into a single cascade-risk context.
It produces a cascade pressure path, right-side state tags, event labels, optional pulse markers, and a compact AG Pro dashboard panel. It does not predict future price, automate entries, provide liquidation prices, or act as a guaranteed signal system.
🎯 Purpose & Design Philosophy
This script was built for traders who want to understand when a crypto market may be carrying unstable leverage pressure.
Many liquidation tools focus on exact levels, heatmaps, or speculative liquidation clusters. Those can be useful, but they often require external datasets and may create false certainty when used as chart overlays.
Liquidation Cascade Risk Map takes a different approach. It asks whether current market behavior has the ingredients of cascade vulnerability: expanding pressure, directional stress, range instability, aggressive bodies, and persistence.
⚡ Why This Script Is Different
Most tools focus on liquidation levels, estimated heatmap bands, or simple volatility alerts.
This script does NOT claim to know where every liquidation sits, and it does not draw exchange-style liquidation heatmaps.
Instead, it maps the quality of the surrounding cascade-risk environment. It highlights when the market is showing pressure that may support long-side cascade risk, short-side cascade risk, two-way cascade vulnerability, or cooling after a pressure build-up.
⚙️ Methodology
1. Context Detection
The script checks whether usable open interest data exists. If not, it can fall back to a volume-proxy model so the visual framework remains usable across more symbols.
2. Pressure Mapping
It evaluates data change, volatility shock, candle range pressure, body expansion, distance from reference structure, and directional movement.
3. Cascade Evaluation
Those components are blended into a cascade-risk score. The script then classifies the environment as Long Cascade Risk, Short Cascade Risk, Two-Way Cascade, Risk Cooling, Neutral Risk, or Data Missing.
4. Visual Output
The chart displays a cascade pressure path, a dotted center reference, a vertical pressure needle, right-side tags, event labels, and a panel that summarizes the active state.
🗺️ How to Read the Chart
The upper pressure rail represents elevated liquidation-cascade risk.
The lower pressure rail represents cooling or pressure release context.
The dotted centerline acts as the current reference path.
The vertical needle shows how stretched the active cascade-risk score is inside the pressure path.
Event labels identify important changes such as Long Cascade, Short Cascade, Two-Way Cascade, or Risk Cooling.
The panel summarizes state, score, data change, velocity, persistence, cooling, direction, grade, data mode, ATR shock, data source, and trend.
🚦 Signals & States
• Long Cascade Risk → downside pressure is elevated and long-side liquidation vulnerability may be rising
• Short Cascade Risk → upside pressure is elevated and short-side liquidation vulnerability may be rising
• Two-Way Cascade → volatility and pressure are elevated on both sides, suggesting unstable conditions
• Risk Cooling → cascade pressure is decreasing after a build-up
• Neutral Risk → no strong cascade-risk condition is currently active
• Data Missing → the selected data source is not usable on the current symbol or mode
🔔 Alerts Logic
Alerts can be enabled for Long Cascade Risk, Short Cascade Risk, Two-Way Cascade, and Risk Cooling.
Each alert triggers when the selected state becomes active. Alerts are designed as attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when data expansion, volatility shock, range pressure, directional bias, and persistence align at the same time.
For example, high volatility with strong directional movement and rising pressure persistence may indicate a more unstable cascade-risk environment than volatility alone.
📊 When to Use
• Crypto perpetual futures
• High-volatility market phases
• Sharp directional moves
• Post-breakout acceleration
• Failed recovery or forced unwind environments
• Situations where leverage pressure may matter more than ordinary trend context
⚠️ When NOT to Use
• Very low liquidity symbols
• Symbols with unreliable volume or open interest data
• Extremely noisy low-timeframe charts
• Markets with abnormal gaps or data breaks
• Any situation where the user expects exact exchange liquidation prices
🎛️ Key Inputs
• Data Mode → chooses between automatic open interest, manual open interest symbol, or volume proxy
• Lookback Length → controls the normalization window for pressure scoring
• Fast / Slow Pressure Length → controls short-term and baseline pressure reaction
• Cascade Threshold → defines how demanding the script is before marking cascade-risk conditions
• Cooling Threshold → controls when pressure is considered to be cooling
• Persistence Bars → measures whether pressure is sustained or only momentary
• Visual settings → control labels, pulse markers, path visibility, panel layout, and font sizes
🖥️ Interface & Visual Design
The interface is built to make the chart readable at first glance.
The cascade path is intentionally not a large boxed zone. It is a pressure-path structure designed to remain visually distinct from corridor, ladder, and basis-style scripts.
The panel uses a merged AG Pro header row, compact metrics, and a dark professional layout. Visual elements avoid white or pale primary treatments so the script remains readable on both dark and light TradingView chart backgrounds.
🧪 Practical Usage Workflow
1. Read the panel state first.
2. Check whether Data Mode shows real open interest or volume proxy.
3. Look at the cascade pressure path and current needle position.
4. Check event labels for recent pressure build-up or cooling.
5. Compare the state with broader trend, volatility, and market structure.
🔍 Interpretation Guidelines
Do not treat a cascade-risk state as a direct entry or exit signal.
Use it as a context layer. The script is most useful when combined with structure, liquidity, volatility, market regime, and risk management.
Rising cascade risk can mean the market is becoming unstable. Cooling can mean pressure is easing, but it does not guarantee reversal or continuation.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not calculate exact liquidation prices.
It does not guarantee that a liquidation cascade will happen.
⚠️ Limitations & Transparency
Open interest availability depends on symbol, exchange, and TradingView data support.
Volume proxy mode is only a proxy. It can help visualize pressure context, but it is not the same as real open interest.
Different timeframes may produce different readings.
Fast markets, illiquid symbols, gaps, and abnormal candles can affect outputs.
🧠 Market Context Notes
Liquidation pressure is often connected to leverage, volatility, liquidity, and forced positioning.
This script focuses on context quality rather than exact liquidation geography. That makes it useful as a decision-support layer, but it should always be interpreted with broader market evidence.
🧾 Use Case Examples
When price accelerates downward while pressure score and persistence rise, the chart may show Long Cascade Risk.
When price squeezes upward with high pressure and volatility expansion, the chart may show Short Cascade Risk.
When volatility and pressure expand without clean directional separation, the chart may show Two-Way Cascade.
When pressure falls after a build-up, the chart may show Risk Cooling.
🧱 System Philosophy
AGProLabs scripts are built as structured decision-support tools.
The goal is not to make the chart louder. The goal is to make hidden market context easier to read, compare, and question.
🔐 Non-Promise Statement
No script can remove uncertainty.
No state should be treated as certainty.
No visual element should replace trader judgment.
📉 Risk Disclosure
Trading involves risk.
Crypto derivatives and leveraged markets can be especially volatile.
This script is for educational and analytical purposes only.
Nothing in this script should be interpreted as financial advice, investment advice, or a guarantee of outcome.
Users remain fully responsible for their own decisions.
📚 Educational Note
Use this script to study how pressure, volatility, persistence, and directional stress interact before and after unstable crypto market moves.
インジケーター
Live Position Tracker Leverage CalculatorLive Position Tracker Leverage Calculator
A leverage and position calculator that lives on your chart. Set your entry candle, entry price, take profit, and stop loss with a few clicks and get an instant visual breakdown of the trade — risk, reward, liquidation distance, breakeven, and live PnL — all anchored to the actual candle you entered on.
Unlike static calculator widgets, this tool tracks your trade from entry to exit. It records the best and worst points your position reached, counts how many bars you've held, and freezes everything when the trade closes so you have a clean snapshot of how it played out.
WHAT GETS PLOTTED ON THE CHART
· Entry, Take Profit, and Stop Loss lines anchored from your entry candle forward
· Liquidation price line (calculated from your leverage and maintenance margin)
· Breakeven line (entry adjusted for fees)
· Filled zones between entry/TP (green) and entry/SL (red)
· Best Point and Worst Point markers showing the maximum favorable and adverse excursion the trade reached
· Live PnL label that updates with current price
WHAT'S IN THE INFO PANEL
· Position: capital, notional, quantity, maintenance margin, fee rate
· Outcomes: live PnL, projected PnL at TP, projected loss at SL, risk-to-reward ratio
· Liquidation: liquidation price, distance to liquidation, round-trip fees
· Trade history: bars in trade, best point reached, worst point reached
· Status: pending entry, active, target hit, stop hit, or liquidated
KEY FEATURES
· Click-to-set workflow: TradingView prompts you to click the entry candle, entry price, TP, and SL when you add the indicator
· Auto direction detection from your TP and SL placement (or manually force Long/Short)
· Liquidation calculator with adjustable maintenance margin (works for any exchange — set the value from your exchange's tier table)
· Sanity warnings: flags when stop loss is past the liquidation price, or when TP/SL are on the wrong side of entry
· Trade tracking freezes the moment any exit (TP/SL/liquidation) is hit, giving you a clean post-trade snapshot
· Three independent color systems: on-chart tag colors, Live PnL label colors, and panel theme — each customizable without affecting the others
· Customizable line widths, label colors, font color, and panel theme (dark, light, or fully custom)
· Adjustable label offsets and stagger so the chart never gets cluttered regardless of timeframe or symbol
· Alerts for TP, SL, liquidation, and breakeven crossings
MAINTENANCE MARGIN REFERENCE
Maintenance margin (MMR) is the minimum equity percentage required to keep your leveraged position open. The default 0.5% is roughly accurate for BTC/ETH on major exchanges, but real values vary:
· BTC/ETH majors: 0.4 – 0.5%
· Top 20 alts: 0.5 – 1.0%
· Mid-cap alts: 1.0 – 2.5%
· Low-cap and meme coins: 2.5%+
For accurate liquidation calculations, find your exchange's exact MMR for your symbol and position size.
NOTES
The liquidation price is a simplified isolated-margin approximation and does not account for tiered margin requirements at different position sizes. Always verify against your exchange's actual liquidation calculator before sizing real positions.
This tool calculates risk-to-reward as the gross price-distance ratio (matching TradingView's built-in long/short position tool). The fee-adjusted dollar amounts are shown separately in the "If TP Hit" and "If SL Hit" rows.
インジケーター
インジケーター
Liquidity Clusters Magnitude [LuxAlgo]The Liquidity Clusters Magnitude indicator quantifies the intensity of dynamic support and resistance zones by counting the number of candle wick "touches" at the most inclusive liquidity levels within a rolling window. This enhanced version includes smoothing, a trend-following metric, and a real-time dashboard to provide a comprehensive view of historical rejection density.
🔶 USAGE
The indicator plots three primary metrics on a centered oscillator to represent liquidity dynamics:
Bullish Magnitude (Green): Represents the concentration of lower wicks touching the support cluster level. A higher value indicates strong buying pressure or rejection at that level.
Bearish Magnitude (Red): Represents the concentration of upper wicks touching the resistance cluster level. A higher negative value indicates strong selling pressure or rejection.
Trend Metric (Blue): A composite line moving between the two areas, representing the net bias between bullish and bearish liquidity. It helps traders identify the prevailing "side" of the market's liquidity interest.
Traders can identify significant liquidity events when the magnitude metrics spike beyond the Magnitude Threshold . These events are highlighted by Signal Dots on the oscillator lines. A real-time Dashboard provides a summary of current magnitudes and the overall "Trend State."
The vertical gradient fills provide a clear "heat map" effect, where the intensity of the color represents the density of the liquidity cluster, fading out as values approach the zero line.
🔶 DETAILS
The script uses mathematical constraints to ensure the identified levels represent true historical "clusters":
🔹 Body-Crossing Constraint
Liquidity levels are strictly constrained to remain outside the highest and lowest candle bodies within the window. This ensures they represent price points reached but not sustained by a close, focusing purely on wick-based rejection.
🔹 Smoothing & Thresholds
To filter out noise, the magnitude metrics are smoothed using a moving average. Threshold lines are included to define what constitutes a "significant" cluster, preventing false signals from minor wick touches and providing clear breakout points for liquidity expansion.
🔹 Trend Analysis
By calculating the difference between bullish and bearish magnitudes, the Trend Metric captures the shift in liquidity focus. This helps traders spot reversals or continuations before they manifest as large price moves by showing which side of the range is seeing more frequent rejection.
🔶 SETTINGS
Window Size: The lookback period for identifying clusters. Larger values identify major historical levels; smaller values focus on local liquidity.
Smoothing: Controls the responsiveness of the oscillator lines.
Magnitude Threshold: Sets the bar for identifying significant liquidity events and triggering signal dots.
Visuals: Customize the colors for bullish, bearish, and trend metrics, as well as the visibility of signal dots.
Dashboard: Enable/disable the status table and adjust its position and size.
インジケーター
インジケーター
Price-Point Volume Oscillator [LuxAlgo]The Price-Point Volume Oscillator indicator estimates the volume distribution at the current price level by analyzing historical bars that intersect with the current market price.
🔶 USAGE
This tool provides a unique perspective on volume by filtering historical price action to show only the volume that occurred when the price was at its current level. This helps traders identify whether the current price point has historically been a zone of high buying pressure, heavy selling, or balanced distribution.
The indicator consists of several visual components:
Buy/Sell Volume Areas: The background shows the estimated buying volume (green area) and selling volume (red area) accumulated at the current price over the lookback period.
Volume Delta Histogram: The central histogram represents the net difference (Delta) between buy and sell volume. A green histogram indicates a net positive buying bias at the current price, while a red histogram indicates a net negative selling bias.
Dashboard: A real-time table providing specific metrics, including estimated Buy/Sell totals, the net Delta, and the Delta Percentage.
Traders can use this oscillator to confirm support or resistance levels. For example, if the price approaches a previous level and the Delta Histogram shows significant buying volume at that specific price point, it may suggest strong historical demand.
🔶 DETAILS
The script operates by looping through a user-defined lookback window. For every historical bar, it checks if the current close price falls within that bar's High-Low range. If it does, the volume from that historical bar is "allocated" to the current price level.
To differentiate between buying and selling volume, the script uses a ratio based on where the historical bar closed relative to its range. If a historical bar closed near its high, a larger portion of its volume is attributed to "Buy Volume" at the current price.
🔶 SETTINGS
🔹 Settings
Lookback Window: Determines the number of historical bars the indicator analyzes to find price intersections. A larger window provides a more comprehensive historical view but requires more calculations.
🔹 Visuals
Show Dashboard: Toggles the visibility of the real-time statistics table.
Position: Controls where the dashboard is anchored on the chart (Top Right, Bottom Right, or Bottom Left).
Size: Adjusts the text and table size of the dashboard to fit different screen resolutions.
インジケーター
Liquidation Heatmap by RumiancevLiquidation Heatmap by Rumiancev
Overview
Liquidation Heatmap is an open-source visual map of estimated liquidation zones built from activity spikes .
When the script detects an unusually large spike, it projects liquidation levels for multiple leverage tiers and aggregates them into horizontal price “bins”. Each bin accumulates weight over time and is displayed as a color gradient:
• Brighter / hotter = higher accumulated weight
• Darker / colder = lower accumulated weight
Important: This is not an exchange liquidation feed and it does not display “real liquidation prices”. It is a proxy model designed to visualize where liquidation pressure could be clustering based on abnormal market activity.
Why BTCUSDT.P is recommended
For the most consistent and “liquidation-relevant” behavior, use a perpetual futures symbol such as BTCUSDT.P .
Perpetual markets provide Open Interest , so the script can use OI Delta (change in OI) as the spike stream. OI delta typically reflects leveraged positioning changes (build-up / flushes) more directly than spot volume.
• On perpetuals → OI data is available → spikes are usually cleaner for this model
• On spot → OI is not available → the script may fall back to volume, which can be noisier
If needed, set OI Symbol Override manually (examples are shown in the input tooltip).
How it works (logic)
1) Select a spike stream
• AUTO : uses OI Delta if available, otherwise Volume
• OI : forces OI Delta
• VOL : forces Volume only
2) Detect spike events
The script measures abnormal activity using a Z-score style approach on the absolute stream:
• Spike Lookback defines the baseline window
• Sensitivity maps to a threshold (lower = more events, higher = fewer events)
• Min bars between events optionally reduces clustering on lower timeframes
3) Project liquidation prices
For each spike event, liquidation estimates are calculated for up to three leverage tiers:
• Long liquidations are projected below the reference price
• Short liquidations are projected above the reference price
4) Bin, accumulate, and colorize
Projected levels are snapped into bins using Bin Scale (ticks) .
Bin weight is accumulated and displayed as a gradient between Low density and High density .
5) Freeze on touch
When price touches a bin (wick or close, depending on settings), the bin is frozen :
• it stops updating
• it becomes dotted / high transparency
This keeps a lightweight history of zones that have been interacted with.
How to read the map
• Bins below price often represent potential long-liquidation pressure zones
• Bins above price often represent potential short-liquidation pressure zones
• Brighter bins = more accumulated spike weight → potentially more crowded zone
• Frozen dotted bins = price already touched that zone (historical interaction)
Timeframes (recommendations)
This indicator runs on any timeframe, but density/noise changes significantly.
Best balance (recommended):
• 15m / 1H / 4H — good signal-to-noise and clean structure
Higher timeframes (cleaner, fewer zones):
• 12H / 1D — fewer events, more “macro” zones
Lower timeframes (noisier by nature):
• 1m / 3m / 5m — more spikes and more bins
To reduce clutter on low TF, consider:
• increasing Sensitivity (e.g., 14–18)
• enabling Min bars between events (e.g., 10–30)
• increasing Bin Scale (ticks) (thicker bins → fewer levels)
• enabling Keep only local range bins
Inputs (what each setting does)
Source
• Source Mode : AUTO / VOL / OI
• OI Symbol Override : manual OI source if AUTO is not suitable
Event (Spike) Filter
• Spike Lookback : baseline window for mean/stdev
• Sensitivity : lower = more events, higher = fewer events
• Use high/low for touch test : wick-based touches
• Min bars between events : reduces spike clustering
Liquidation Levels (bins)
• Reference Price : base price for projections (close/hl2/etc.)
• Leverage 1/2/3 : leverage tiers (set to 0 to disable any tier)
• Bin Scale (ticks) : bin thickness (bigger = fewer bins)
• Extend (bars) : how long active bins extend
• Max active bins per side : cap for active bins
• Dispersion (%) : splits part of the weight to the opposite side
• Keep only local range bins + Local range lookback : trims bins far from recent range
Visual
• Gradient colors, frozen transparency, legend, and debug marker
Limitations / Disclaimer
This script is provided for research and educational purposes only . It is not financial advice .
The plotted zones are estimates derived from a simplified model (spike detection + leverage projections). Results depend on symbol, exchange data availability (OI), and timeframe.
インジケーター
Precision Market Entropy Heatmap [LuxAlgo]The Precision Market Entropy Heatmap indicator provides a high-resolution visualization of volume distribution and market activity within specific anchor intervals using intrabar data.
By utilizing lower timeframe (LTF) precision, it maps out where the most significant trading activity occurred, allowing traders to identify institutional interest zones and "fair value" areas through a dynamic heat-mapped profile.
🔶 USAGE
The indicator segments the chart into blocks based on the selected Anchor Interval. Within each block, a vertical distribution of volume is calculated using the Intrabar Precision setting to ensure the heatmap accurately reflects market participation at specific price levels.
Heatmap Blocks : Brighter colors represent higher volume concentrations (high entropy). These areas often act as significant support or resistance zones where the market has previously found "fair value" or high liquidity.
Identifying Institutional Interest : High-volume "bright" nodes represent price levels where heavy institutional participation occurred. These nodes act as powerful magnets or barriers for future price action.
Navigating Liquidity Voids : Darker areas indicate low volume nodes (low entropy). Price often "slips" through these gaps quickly. Traders can use these zones to anticipate fast-moving price action or set targets beyond the void.
Trend Direction via POC : Observe the slope and shifts of the Developing POC polyline. An ascending POC confirms bullish value migration, while a descending one suggests bearish value migration.
Mean Reversion : Significant price deviations from the largest high-volume node, when the POC remains static, can signal that the market is overextended and likely to return to "fair value."
Breakout Validation : Use the blocks to identify compression zones. A breakout is more reliable when the POC shifts into the new range, confirming that the move is backed by volume and accepted by the market.
POC Extensions : Dashed lines extend the session's final POC. These are dynamically colored based on their relationship to the current price: Green if the POC is below the current price (potential support) and Red if above (potential resistance).
🔶 DETAILS
Unlike standard Volume Profiles that look at fixed ranges, this script focuses on "Entropy" by visualizing the density of distribution across a user-defined grid.
By requesting security data from lower timeframes, it provides a much more granular view of price action than what is visible on the current chart timeframe alone.
The indicator uses a gradient-based coloring system to distinguish between low-activity areas and high-volume nodes, making it easier to spot "Liquidity Voids" (darker areas) and "High Volume Nodes" (brighter areas).
🔶 SETTINGS
🔹 Heatmap Settings
Anchor Interval : Sets the timeframe that defines each heatmap block (e.g., "D" for Daily blocks).
Intrabar Precision : Determines the lower timeframe used to calculate the volume distribution. Lower values (like "1m") provide higher precision but are limited by available historical data.
Number of Rows : Controls the vertical price resolution of the heatmap grid. Higher values create a more detailed but computationally heavier profile.
🔹 Style Settings
Heatmap Intensity : A three-color gradient selector that defines the color transition from low to high volume areas.
Heatmap Transparency : Adjusts the visibility of the heatmap blocks on the chart.
POC Extension (Bull/Bear) : Sets the colors for the dashed POC lines based on whether they are currently below (Bull) or above (Bear) the market price.
Show Developing POC : Toggles the visibility of the real-time POC polyline.
Auto : When enabled, the developing POC color automatically syncs with your chart theme's foreground color.
🔹 Display Settings
Max Sessions to Show : Limits the number of historical heatmap blocks rendered on the chart to maintain performance.
Extend POCs to Current Bar : When enabled, historical POC lines will extend to the far right of the chart until they are replaced by newer sessions.
インジケーター
Liquidation Bubbles [OmegaTools]🔴🟢 Liquidation Bubbles — Advanced Volume & Price Stress Detector
Liquidation Bubbles is a professional-grade analytical tool designed to identify forced positioning events, stop-runs, and liquidation clusters by combining price displacement and volume imbalance into a single, statistically normalized framework.
This indicator is not a repainting signal tool and not a simple volume spike detector. It is a contextual market stress mapper, built to highlight areas where one-sided positioning becomes unstable and the probability of forced order execution (liquidations, stops, margin calls) materially increases.
---
## 🔬 Core Concept
Market liquidations do not occur randomly.
They emerge when price deviates aggressively from its volume-weighted equilibrium while volume itself becomes abnormal.
Liquidation Bubbles detects exactly this condition by:
* Estimating a **dynamic equilibrium price** using an *inverted volume-weighted moving average*
* Measuring **directional price stress** relative to that equilibrium
* Measuring **volume stress** relative to its own adaptive baseline
* Normalizing both into **Z-score–like metrics**
* Highlighting only **statistically extreme, asymmetric events**
The result is a clear visual map of stress points where market participants are most vulnerable.
---
⚙️ Methodology (How It Works)
1️⃣ Advanced Inverted VWMA (Equilibrium Engine)
The script uses a custom Advanced VWMA, where:
* High volume bars receive less weight
* Low volume bars receive more weight
This produces a **robust equilibrium level**, resistant to manipulation and volume bursts.
This equilibrium is used for **both price and volume normalization**, creating a consistent statistical framework.
---
2️⃣ Price Stress (Directional)
Price stress is calculated as:
* The **maximum deviation** between high/low and equilibrium
* Directionally signed (upside vs downside)
* Normalized by its own historical volatility
This allows the script to distinguish:
* Aggressive upside exhaustion
* Aggressive downside capitulation
---
3️⃣ Volume Stress
Volume stress is measured as:
* Deviation from volume equilibrium
* Normalized by historical volume dispersion
This filters out:
* Normal high-volume sessions
* Illiquid noise
And isolates abnormal participation imbalance.
---
4️⃣ Liquidation Logic
A liquidation event is flagged when:
* Both price stress and volume stress exceed adaptive thresholds
* The imbalance is directional and statistically extreme
Optional Combined Score Mode allows aggregation of price & volume stress into a single composite metric for smoother signals.
---
🔵 Bubble System (Signal Hierarchy)
The indicator plots **two tiers of bubbles**:
🟢🔴 Small Bubbles
* Early warning stress points
* Localized stop-runs
* Micro-liquidations
* Often precede reactions or short-term reversals
🟢🔴 Big Bubbles
* Full liquidation clusters
* Forced unwinds
* High probability exhaustion zones
* Frequently align with:
* Intraday extremes
* Range boundaries
* Reversal pivots
* Volatility expansions
Bubble color:
* **Green** → Downside liquidation (sell-side exhaustion)
* **Red** → Upside liquidation (buy-side exhaustion)
Bubble placement is **ATR-adjusted**, ensuring visual clarity without overlapping price.
---
🔄 Cross-Market Volume Analysis
The script allows optional **external volume sourcing**, enabling:
* Futures volume applied to CFDs
* Index volume applied to ETFs
* Spot volume applied to derivatives
This is critical when:
* Your traded instrument has unreliable volume
* You want **institutional-grade confirmation**
---
🧠 How to Use Liquidation Bubbles
This indicator is **not meant to be traded alone**.
Best use cases:
* 🔹 Confluence with support & resistance
* 🔹 Contextual confirmation for reversals
* 🔹 Identifying fake breakouts
* 🔹 Liquidity sweep detection
* 🔹 Risk management (avoid entering into liquidation zones)
Ideal for:
* Futures
* Indices
* Crypto
* High-liquidity FX pairs
* Intraday & swing trading
---
🎯 Who This Tool Is For
Liquidation Bubbles is designed for:
* Advanced discretionary traders
* Order-flow & liquidity-based traders
* Macro & index traders
* Professionals seeking **context**, not signals
If you want **where the market is fragile**, not just where price moved — this tool was built for you.
---
📌 Key Characteristics
✔ Non-repainting
✔ Statistically normalized
✔ Adaptive to volatility
✔ Works on all timeframes
✔ Futures & crypto ready
✔ No lagging indicators
✔ No moving average crosses
---
Liquidation Bubbles does not predict the future.
It shows you where the market is most likely to break.
— OmegaTools インジケーター
Liquidation Heatmap [Alpha Extract]A sophisticated liquidity zone visualization system that identifies and maps potential liquidation levels based on swing point analysis with volume-weighted intensity measurement and gradient heatmap coloring. Utilizing pivot-based pocket detection and ATR-scaled zone heights, this indicator delivers institutional-grade liquidity mapping with dynamic color intensity reflecting relative liquidity concentration. The system's dual-swing detection architecture combined with configurable weight metrics creates comprehensive liquidation level identification suitable for strategic position planning and market structure analysis.
🔶 Advanced Pivot-Based Pocket Detection
Implements dual swing width analysis to identify potential liquidation zones at pivot highs and lows with configurable lookback periods for comprehensive level coverage. The system detects primary swing points using main pivot width and optional secondary swing detection for increased pocket density, creating layered liquidity maps that capture both major and minor liquidation levels across extended price history.
🔶 Multi-Metric Weight Calculation Engine
Features flexible weight source selection including Volume, Range (high-low spread), and Volume × Range composite metrics for liquidity intensity measurement. The system calculates pocket weights based on market activity at pivot formation, enabling traders to identify which liquidation levels represent higher concentration of potential stops and liquidations with configurable minimum weight thresholds for noise filtering.
🔶 ATR-Based Zone Height Framework
Utilizes Average True Range calculations with percentage-based multipliers to determine pocket vertical dimensions that adapt to market volatility conditions. The system creates ATR-scaled bands above swing highs for short liquidation zones and below swing lows for long liquidation zones, ensuring zone heights remain proportional to current market volatility for accurate level representation.
🔶 Dynamic Gradient Heatmap Visualization
Implements sophisticated color gradient system that maps pocket weights to intensity scales, creating intuitive visual representation of relative liquidity concentration. The system applies power-law transformation with configurable contrast adjustment to enhance differentiation between weak and strong liquidity pockets, using cyan-to-blue gradients for long liquidations and yellow-to-orange for short liquidations.
🔶 Intelligent Pocket State Management
Features advanced pocket tracking system that monitors price interaction with liquidation zones and updates pocket states dynamically. The system detects when price trades through pocket midpoints, marking them as "hit" with optional preservation or removal, and manages pocket extension for untouched levels with configurable forward projection to maintain visibility of approaching liquidity zones.
🔶 Real-Time Liquidity Scale Display
Provides gradient legend showing min-max range of pocket weights with 24-segment color bar for instant liquidity intensity reference. The system positions the scale at chart edge with volume-formatted labels, enabling traders to quickly assess relative strength of visible liquidation pockets without numerical clutter on the main chart area.
🔶 Touched Pocket Border System
Implements visual confirmation of executed liquidations through border highlighting when price trades through pocket zones. The system applies configurable transparency to touched pocket borders with inverted slider logic (lower values fade borders, higher values emphasize them), providing clear historical record of liquidated levels while maintaining focus on active untouched pockets.
🔶 Dual-Swing Density Enhancement
Features optional secondary swing width parameter that creates additional pocket layer with tighter pivot detection for increased liquidation level density. The system runs parallel pivot detection at both primary and secondary swing widths, populating chart with comprehensive liquidity mapping that captures both major swing liquidations and intermediate level clusters.
🔶 Adaptive Pocket Extension Framework
Utilizes intelligent time-based extension that projects untouched pockets forward by configurable bar count, maintaining visibility as price approaches potential liquidation zones. The system freezes touched pocket right edges at hit timestamps while extending active pockets dynamically, creating clear distinction between historical liquidations and forward-projected active levels.
🔶 Weight-Based Label Integration
Provides floating labels on untouched pockets displaying volume-formatted weight values with dynamic positioning that follows pocket extension. The system automatically manages label lifecycle, creating labels for new pockets, updating positions as pockets extend, and removing labels when pockets are touched, ensuring clean chart presentation with relevant liquidity information.
🔶 Performance Optimization Framework
Implements efficient array management with automatic clean-up of old pockets beyond lookback period and optimized box/label deletion to maintain smooth performance. The system includes configurable maximum object counts (500 boxes, 50 labels, 100 lines) with intelligent removal of oldest elements when limits are approached, ensuring consistent operation across extended timeframes.
This indicator delivers sophisticated liquidity zone analysis through pivot-based detection and volume-weighted intensity measurement with intuitive heatmap visualization. Unlike simple support/resistance indicators, the Liquidation Heatmap combines swing point identification with market activity metrics to identify where concentrated liquidations are likely to occur, while the gradient color system instantly communicates relative liquidity strength. The system's dual-swing architecture, configurable weight metrics, ATR-adaptive zone heights, and intelligent state management make it essential for traders seeking strategic position planning around institutional liquidity levels across cryptocurrency, forex, and futures markets. The visual heatmap approach enables instant identification of high-probability reversal zones where cascading liquidations may trigger significant price reactions. インジケーター
Simulated Liquidation Heatmap [QuantAlgo]🟢 Overview
This indicator visualizes where clusters of stop-loss orders and liquidation levels are likely located, displayed as a 'heatmap'. It's based on the concept of market structure liquidity: large groups of stop orders tend to gather around obvious technical levels (like swing highs and lows), and these pools of orders often attract price movement from institutional traders. The indicator uses a fractal-based algorithm to identify these high-probability liquidation zones and displays them as dynamic, color-coded boxes.
The key feature is the thermal color gradient, which indicates the freshness (age) and therefore the relative relevance of the liquidity zone. Hot colors (e.g., Red/Yellow) represent fresh clusters that have just formed, suggesting strong and immediate liquidity interest. Cold colors (e.g., Blue/Purple) represent aged or decaying clusters that are becoming less relevant over time. This visualization allows traders to anticipate potential liquidity sweeps (stop hunts) and understand areas of significant retail and institutional positioning.
🟢 Key Features
1. Liquidity Zone Heatmap
The core function is the identification of swing high and swing low price points using a user-defined Lookback period. These points are where retail traders are statistically most likely to place their stop-loss orders. The indicator simulates the clustering of these orders by drawing a zone (box) around the detected swing point, with the vertical size controlled by the Stop/Liquidation Zone Width (%) setting.
▶ Cluster Lookback: Defines the sensitivity of swing point detection. Lower values detect frequent, minor zones (scalping/intraday); higher values detect major, stronger swing points (swing trading).
▶ Zone Width (%): Sets the percentage range above and below the swing point where stops are simulated to cluster, accounting for slippage and typical stop placement spread.
▶ Liquidity Decay: Zones gradually fade in color intensity and are eventually removed after the user-defined Liquidity Decay Period (Bars), ensuring the heatmap only displays relevant, current liquidity areas.
▶ Round Number Filter: An optional filter that limits the display to liquidity zones occurring only at psychologically significant round numbers (e.g., $100, $1,500.00), which typically attract higher concentrations of orders.
2. Thermal Color Gradient
The heatmap's color is a direct function of the zone's age, providing a visual proxy for immediate relevance.
▶ Freshness: Newly created zones are displayed in the Hot Color (high relevance).
▶ Decay: As bars pass, the zone color transitions along the gradient toward the Cold Color and increased transparency (lower relevance), until it is removed entirely.
▶ Color Schemes: Multiple pre-configured and custom color schemes are available to optimize the visualization for different chart themes and color preferences.
3. Liquidity Heat Thermometer
An optional visual thermometer is displayed on the chart to provide an instant, overall assessment of the current liquidation heat level in the immediate vicinity of the price.
▶ Calculation: The thermometer calculates an aggregate heat score based on the age and proximity of all liquidity zones within a user-defined Zone Detection Range (%) of the current price.
▶ Visual Feedback: A marker (triangle) points to the corresponding level on the thermometer's color gradient (Hot to Cold). A high reading indicates price is close to fresh, dense stop clusters, suggesting high volatility or an imminent liquidity sweep is probable. A low reading indicates price is in a low-density or aged liquidity area.
▶ Customization: The thermometer's resolution, position, and text size are fully customizable for optimal chart placement and readability.
🟢 Practical Applications
▶ Anticipate Sweeps: Prioritize trading in the direction of Hot (fresh) liquidity zones. For example, a hot low-side zone suggests strong sell-side liquidity (stop-losses) is available for large buyers to sweep.
▶ Filter Noise: Use the Round Number Filter to focus only on the highest probability liquidation zones, which are often at clean, psychological price levels.
▶ Validate Entries: Combine the Heat Thermometer with price action analysis. A rising heat level indicates increasing proximity to a major stop cluster, signaling a potential turn or an aggressive market move to sweep those stops.
▶ Risk Management: Understand that price often acts dynamically around these zones. High heat levels imply high risk/reward setups; stops should be placed strategically beyond the defined Liquidation Zone Width.
▶ Multi-Timeframe Context: Higher timeframes (e.g., Daily, 4-Hour) often reveal more significant, major liquidity zones. Use this indicator on lower timeframes (e.g., 5-min, 15-min) for execution, but prioritize zones that align with higher-timeframe structures. インジケーター
Time-Decay Liquidity Zones [BackQuant]Time-Decay Liquidity Zones
A dynamic liquidity map that turns single-bar exhaustion events into fading, color-graded zones, so you can see where trapped traders and unfinished business still matter, and when those areas have finally stopped pulling price.
What this is
This indicator detects unusually strong impulsive moves into wicks, converts them into supply or demand “zones,” then lets those zones decay over time. Each zone carries a strength score that fades bar by bar. Zones that stop attracting or rejecting price are gradually de-emphasized and eventually removed, while the most relevant areas stay bright and obvious.
Instead of static rectangles that live forever, you get a living liquidity map where:
Zones are born from objective criteria: volatility, wick size, and optional volume spikes.
Zones “age” using a configurable decay factor and maximum lifetime.
Zone color and opacity reflect current relative strength on a unified clear → green → red gradient.
Zones freeze when broken, so you can distinguish “active reaction areas” from “historical levels that have already given way”.
Conceptual idea
Large wicks with strong volatility often mark areas where aggressive orders met hidden liquidity and got absorbed. Price may revisit these areas to test leftover interest or to relieve trapped positions. However, not every wick matters for long. As time passes and more bars print, the market “forgets” some areas.
Time-Decay Liquidity Zones turns that idea into a rule-based system:
Find bars that likely reflect strong aggressive flows into liquidity.
Mark a zone around the wick using ATR-based thickness.
Assign a strength score of 1.0 at birth.
Each bar, reduce that score by a decay factor and remove zones that fall below a threshold or live too long.
Color all surviving zones from weak to strong using a single gradient scale and a visual legend.
How events are detected
Detection lives in the Event Detection group. The script combines range, wick size, and optional volume filters into simple rules.
Volatility filter
ATR Length — computes a rolling ATR over your chosen window. This is the volatility baseline.
Min range in ATRs — bar range (High–Low) must exceed this multiple of ATR for an event to be considered. This avoids tiny bars triggering zones.
Wick filters
For each bar, the script splits the candle into body and wicks:
Upper wick = High minus the max(Open, Close).
Lower wick = min(Open, Close) minus Low.
Then it tests:
Upper wick condition — upper wick must be larger than Min wick size in ATRs × ATR.
Lower wick condition — lower wick must be larger than Min wick size in ATRs × ATR.
Only bars with a sufficiently long wick relative to volatility qualify as candidate “liquidity events”.
Volume filter
Optionally, the script requires a volume spike:
Use volume filter — if enabled, volume must exceed a rolling volume SMA by a configurable multiplier.
Volume SMA length — period for the volume average.
Volume spike multiplier — how many times above the SMA current volume needs to be.
This lets you focus only on “heavy” tests of liquidity and ignore quiet bars.
Event types
Putting it together:
Upper event (potential supply / long liquidation, etc.)
Occurs when:
Upper wick is large in ATR terms.
Full bar range is large in ATR terms.
Volume is above the spike threshold (if enabled).
Lower event (potential demand / short liquidation, etc.)
Symmetric conditions using the lower wick.
How zones are constructed
Zone geometry lives in Zone Geometry .
When an event is detected, the script builds a rectangular box that anchors to the wick and extends in the appropriate direction by an ATR-based thickness.
For upper (supply-type) zones
Bottom of the zone = event bar high.
Top of the zone = event bar high + Zone thickness in ATRs × ATR.
The zone initially spans only the event bar on the x-axis, but is extended to the right as new bars appear while the zone is active.
For lower (demand-type) zones
Top of the zone = event bar low.
Bottom of the zone = event bar low − Zone thickness in ATRs × ATR.
Same extension logic: box starts on the event bar and grows rightward while alive.
The result is a band around the wick that scales with volatility. On high-ATR charts, zones are thicker. On calm charts, they are narrower and more precise.
Zone lifecycle, decay, and removal
All lifecycle logic is controlled by the Decay & Lifetime group.
Each zone carries:
Score — a floating-point “importance” measure, starting at 1.0 when created.
Direction — +1 for upper zones, −1 for lower zones.
Birth index — bar index at creation time.
Active flag — whether the zone is still considered unbroken and extendable.
1) Active vs broken
Each confirmed bar, the script checks:
For an upper zone , the zone is counted as “broken” when the close moves above the top of the zone.
For a lower zone , the zone is counted as “broken” when the close moves below the bottom of the zone.
When a zone breaks:
Its right edge is frozen at the previous bar (no further extension).
The zone remains on the chart, but is no longer updated by price interaction. It still decays in score until removal.
This lets you see where a major level was overrun, while naturally fading its influence over time.
2) Time decay
At each confirmed bar:
Score := Score × Score decay per bar .
A decay value close to 1.0 means very slow decay and long-lived zones.
Lower values (closer to 0.9) mean faster forgetting and more current-focused zones.
You are controlling how quickly the market “forgets” past events.
3) Age and score-based removal
Zones are removed when either:
Age in bars exceeds Max bars a zone can live .
This is a hard lifetime cap.
Score falls below Minimum score before removal .
This trims zones that have decayed into irrelevance even if their age is still within bounds.
When a zone is removed, its box is deleted and all associated state is freed to keep performance and visuals clean.
Unified gradient and color logic
Color control lives in Gradient & Color . The indicator uses a single continuous gradient for all zones, above and below price, so you can read strength at a glance without guessing what palette means what.
Base colors
You set:
Mid strength color (green) — used for mid-level strength zones and as the “anchor” in the gradient.
High strength color (red) — used for the strongest zones.
Max opacity — the maximum visual opacity for the solid part of the gradient. Lower values here mean more solid; higher values mean more transparent.
The script then defines three internal points:
Clear end — same as mid color, but with a high alpha (close to transparent).
Mid end — mid color at the strongest allowed opacity.
High end — high color at the strongest allowed opacity.
Strength normalization
Within each update:
The script finds the maximum score among all existing zones.
Each zone’s strength is computed as its score divided by this maximum.
Strength is clamped into .
This means a zone with strength 1.0 is currently the strongest zone on the chart. Other zones are colored relative to that.
Piecewise gradient
Color is assigned in two stages:
For strength between 0.0 and 0.5: interpolate from “clear” green to solid green.
Weak zones are barely visible, mid-strength zones appear as solid green.
For strength between 0.5 and 1.0: interpolate from solid green to solid red.
The strongest zones shift toward the red anchor, clearly separating them from everything else.
Strength scale legend
To make the gradient readable, the indicator draws a vertical legend on the right side of the chart:
About 15 cells from top (Strong) to bottom (Weak).
Each cell uses the same gradient function as the zones themselves.
Top cell is labeled “Strong”; bottom cell is labeled “Weak”.
This legend acts as a fixed reference so you can instantly map a zone’s color to its approximate strength rank.
What it plots
At a glance, the indicator produces:
Upper liquidity zones above price, built from large upper wick events.
Lower liquidity zones below price, built from large lower wick events.
All zones colored by relative strength using the same gradient.
Zones that freeze when price breaks them, then fade out via decay and removal.
A strength scale legend on the right to interpret the gradient.
There are no extra lines, labels, or clutter. The focus is the evolving structure of liquidity zones and their visual strength.
How to read the zones
Bright red / bright green zones
These are your current “major” liquidity areas. They have high scores relative to other zones and have not yet decayed. Expect meaningful reactions, absorption attempts, or spillover moves when price interacts with them.
Faded zones
Pale, nearly transparent zones are either old, decayed, or minor. They can still matter, but priority is lower. If these are in the middle of a long consolidation, they often become background noise.
Broken but still visible zones
Zones whose extension has stopped have been overrun by closing price. They show where a key level gave way. You can use them as context for regime shifts or failed attempts.
Absence of zones
A chart with few or no zones means that, under your current thresholds, there have not been strong enough liquidity events recently. Either tighten the filters or accept that recent price action has been relatively balanced.
Use cases
1) Intraday liquidity hunting
Run the indicator on lower timeframes (e.g., 1–15 minute) with moderately fast decay.
Use the upper zones as potential sell reaction areas, the lower zones as potential buy reaction areas.
Combine with order flow, CVD, or footprint tools to see whether price is absorbing or rejecting at each zone.
2) Swing trading context
Increase ATR length and range/wick multipliers to focus only on major spikes.
Set slower decay and higher max lifetime so zones persist across multiple sessions.
Use these zones as swing inflection areas for larger setups, for example anticipating re-tests after breakouts.
3) Stop placement and invalidation
For longs, place invalidation beyond a decaying lower zone rather than in the middle of noise.
For shorts, place invalidation beyond strong upper zones.
If price closes through a strong zone and it freezes, treat that as additional evidence your prior bias may be wrong.
4) Identifying trapped flows
Upper zones formed after violent spikes up that quickly fail can mark trapped longs.
Lower zones formed after violent spikes down that quickly reverse can mark trapped shorts.
Watching how price behaves on the next touch of those zones can hint at whether those participants are being rescued or squeezed.
Settings overview
Event Detection
Use volume filter — enable or disable the volume spike requirement.
Volume SMA length — rolling window for average volume.
Volume spike multiplier — how aggressive the volume spike filter is.
ATR length — period for ATR, used in all size comparisons.
Min wick size in ATRs — minimum wick size threshold.
Min range in ATRs — minimum bar range threshold.
Zone Geometry
Zone thickness in ATRs — vertical size of each liquidity zone, scaled by ATR.
Decay & Lifetime
Score decay per bar — multiplicative decay factor for each zone score per bar.
Max bars a zone can live — hard cap on lifetime.
Minimum score before removal — score cut-off at which zones are deleted.
Gradient & Color
Mid strength color (green) — base color for mid-level zones and the lower half of the gradient.
High strength color (red) — target color for the strongest zones.
Max opacity — controls the most solid end of the gradient (0 = fully solid, 100 = fully invisible).
Tuning guidance
Fast, session-only liquidity
Shorter ATR length (e.g., 20–50).
Higher wick and range multipliers to focus only on extreme events.
Decay per bar closer to 0.95–0.98 and moderate max lifetime.
Volume filter enabled with a decent multiplier (e.g., 1.5–2.0).
Slow, structural zones
Longer ATR length (e.g., 100+).
Moderate wick and range thresholds.
Decay per bar very close to 1.0 for slow fading.
Higher max lifetime and slightly higher min score threshold so only very weak zones disappear.
Noisy, high-volatility instruments
Increase wick and range ATR multipliers to avoid over-triggering.
Consider enabling the volume filter with stronger settings.
Keep decay moderate to avoid the chart getting overloaded with old zones.
Notes
This is a structural and contextual tool, not a complete trading system. It does not account for transaction costs, execution slippage, or your specific strategy rules. Use it to:
Highlight where liquidity has recently been tested hard.
Rank these areas by decaying strength.
Guide your attention when layering in separate entry signals, risk management, and higher-timeframe context.
Time-Decay Liquidity Zones is designed to keep your chart focused on where the market has most recently “cared” about price, and to gradually forget what no longer matters. Adjust the detection, geometry, decay, and gradient to fit your product and timeframe, and let the zones show you which parts of the tape still have unfinished business.
インジケーター
インジケーター
Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW
The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned.
Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders.
It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction.
Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious.
🔵 CONCEPTS
Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops).
Market makers & large players often push price into these zones to trigger stops and capture liquidity.
The indicator uses recent volatility + volume expansion to estimate where these pools exist.
Horizontal heat bars show depth and intensity of probable liquidity.
Profile side histogram displays buy-side vs sell-side liquidity distribution.
🔵 FEATURES
Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior.
Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price.
Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation.
Real-Time Heat Coloring
• Lime = liquidity below price (potential buy-side fuel)
• Blue = liquidity above price (potential sell-side fuel)
• Orange = peak liquidity (POC)
Liquidity Profile Histogram — plotted at right side, layered by strength.
Auto-Cleaning Engine — removes invalidated liquidity after breaks.
Adjustable lookback window and bin resolution .
🔵 HOW TO USE
Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps.
Orange POC often acts as magnet — strong target zone for smart money.
Combine with SFP / BOS logic to time reversals after liquidity hunts.
In trend, price repeatedly sweeps opposite-side liquidity before continuation.
Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa.
Great for scalping sessions, indices, FX, BTC, ETH.
🔵 CONCLUSION
The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides.
It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC).
Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
インジケーター
CNagda-MomentumX - Institutional FlowMomentumX is designed to empower traders with a deeper understanding of market movements by focusing on Institutional Flow and advanced market structure analytics. The core goal is to identify and visualize where major market participants are operating, and to translate these complex footprints into clear, actionable trading signals — all in real time.
Real-time institutional activity mapping
Actionable entry and exit signals based on live market structure
Intuitive dashboard and dynamic chart visuals
Fully customizable modules for trend, liquidity, and order blocks
Core Logic Design
At the heart of MomentumX lies a robust algorithmic engine built to capture and surface institutional trading behavior. By leveraging advanced mathematical models, the indicator calculates institutional volume ratios and price momentum to pinpoint aggressive moves from large participants.
Institutional Volume & Price Momentum:
Utilizes custom volume indicators and price change analysis to detect strong buying or selling pressure, filtering out retail noise.
Liquidity Grab Detection & Activity Zones:
The script identifies liquidity grabs by monitoring abrupt price sweeps at major support/resistance levels—often where institutions trigger stop hunts or reversals. All critical activity zones are automatically color-coded on the chart for instant recognition.
Dashboard Visualization:
A fully dynamic dashboard table overlays live scores for accumulation, distribution, strength, and weakness—giving traders a real-time scan of market health.
Trendline & Order Block Architecture:
The logic auto-detects pivot highs/lows to draw smart trendlines, while the order block system highlights key reversal areas and breaker zones—making market structure clear and actionable.
MomentumX is packed with high-performance modules, each engineered to simplify complex market behavior and enhance decision-making for traders:
Institutional Flow Signals:
Instantly identifies spots where institutional players drive momentum, using unique volume and price activity analytics.
Bullish/Bearish Liquidity Grab Detection:
Marks abrupt price moves that signal stop hunts or reversals, letting traders anticipate snap-backs or trend shifts.
Trendline Auto-Detection:
Smartly draws trendlines based on significant swing highs and lows, automatically adjusting as price evolves.
Order Block System (Rejection/Breaker):
Spots and highlights key reversal zones with order block rectangles, confirming rejections or breakouts at strategic levels.
Dashboard and Bar Coloring:
A clean dashboard overlay presents live market scores, while dynamic bar coloring makes trend, strength, and high-activity periods instantly visible.
User Input Toggles for Each Module:
Every major feature is fully customizable—enable or disable modules to match individual trading setups or preferences.
Scripting/Development
MomentumX’s scripting process is modular, enabling clarity, scalability, and fast optimization throughout development:
Initialization & Inputs:
Start by defining all user input options, module toggles, color settings, and calculation parameters—ensuring maximum flexibility early on.
Core Calculation Functions:
Script advanced institutional volume and price momentum algorithms. Build out swing length logic, market state filters, and activity scoring methods.
Detection Engines:
Develop and integrate engines for liquidity grabs, automated trendline detection, and order block identification—each with dedicated functions for speed and precision.
Visual Overlays & Plotting:
Implement powerful plotting logic for colored bars, score dashboards, trendlines, reversal zones, and liquidity markers—making every data point clear and actionable on the chart.
Testing Handlers:
Add diagnostic panels and debug outputs to refine calculations and assure accuracy in every market environment.
Sample Trade Setups (Usage)
Cnagda MomentumX delivers clarity for multiple trading styles by providing timely, actionable setups grounded in institutional behavior and market structure. Here’s how traders can leverage the indicator for confident decision-making:
Liquidity Grab Reversal
Enter trades around detected liquidity grabs when price sweeps major support/resistance and the dashboard signals a momentum shift.
Example: Wait for a bullish/Bearish grab near market lows/high, with institutional flow turning positive/negative—enter long/short for potential mean reversion.
Order Block Breakout
Trade breakouts when price cleanly rejects or flips key order block zones highlighted on the chart.
Example: Short at a marked breaker block after a rejection signal, confirmed by a downward institutional activity spike.
Trendline Continuation
Ride established market moves by entering on trendline confirmations plotted by the auto-detect system.
Example: Go long after a trendline retest, confirmed by a green bar color and dashboard strength score.
Dashboard Confirmation
Combine dashboard metrics (strength, accumulation, distribution) with bar color overlays for multi-factor entries.
Example: Enter trades only when all market signals align in real time for maximum probability.
For Short Entry check -- Weakness : For Long Entry Check - Strength With Other Indications
MomentumX is not just another indicator – it’s your edge for reading the market like an insider. By transparently mapping institutional flow, uncovering hidden liquidity zones, and color-coding every major structure shift, MomentumX transforms complexity into actionable clarity. Whether you’re scalping, swing trading, or investing, you’ll gain a decisive, real-time advantage on every chart.
Embrace smarter decisions, adapt to changing market conditions instantly, and join a new generation of technically empowered traders.
Customize, observe, and let the market reveal opportunities in a way you’ve never experienced before.
Happy Trading インジケーター
インジケーター
Leveraged Liquidation ZonesOVERVIEW
This indicator estimates potential liquidation zones based on leveraged positions (25x, 50x, 75x, 100x). It visually displays upper and lower bounds for each leverage tier, allowing traders to infer areas where the market might be seeking liquidity.
CONCEPTS
In leveraged markets, especially crypto derivatives, price often moves towards zones of high liquidation potential — areas where traders using high leverage are likely to be stopped out. These zones represent concentrations of liquidity that can serve as targets for price movement.
This script models simplified liquidation areas by calculating the price range within which positions using specific leverage levels would be at risk, assuming no maintenance margin and using the previous candle close as a reference.
FEATURES
Visual zones for 25x, 50x, 75x, and 100x leverage levels.
Customizable visibility and colors for each leverage tier.
Real-time zone calculation based on the previous candle close.
Simple and clean design to overlay directly on price action.
USAGE
Use this tool to identify areas of liquidity accumulation or potential price magnet zones. High-leverage liquidations often lead to volatile movements when triggered, so tracking these zones can help anticipate breakout or reversal behavior.
You can toggle individual leverage levels via the settings panel, and adjust color transparency to suit your chart theme. This tool is most effective when combined with volume spikes, order book analysis, or high-frequency behavior. インジケーター
Liquidity Hunter HeatmapLiquidity Hunter (GPS Companion Tool)
Liquidity Hunter is a specialized script designed to help traders visualize and track potential liquidation zones, clusters, and imbalance traps in real-time. It is particularly useful for scalpers and short-term traders who rely on liquidity sweeps, stop hunts, and reversion plays.
This tool does not replicate open-source liquidation trackers. Instead, it uses a proprietary combination of volume surges, candle displacement, VWAP deviation, and high-timeframe wicks to infer areas of trapped traders and display them with clear, color-coded markers.
Key Features:
• Real-Time Liquidation Estimates: Detects where major stop losses (and potential liquidations) may have occurred, based on proprietary volume + price action logic.
• Cluster Strength Bubbles: Visual bubbles (scaled by cluster size) show where liquidations are stacking. Purple for bearish, white for bullish — intensity reflects strength.
• Pre-Liquidation Warning Zones: Highlights areas where price is likely to sweep liquidity before reversing, helping traders avoid chasing moves.
• Dollar-Based Labels (Optional): Displays the estimated value liquidated, helping traders size the significance of a move (e.g., $8.4M).
• Minimal Clutter Mode: Designed for intraday clarity — hides excess lines and uses bubbles, not shapes, for cleaner visualization.
インジケーター
Liqudation HeatMap [BigBeluga]🔵 OVERVIEW
An advanced liquidity visualization tool that plots horizontal heat zones to highlight where potential liquidations and volume clusters are most likely hiding beneath price action.
Liqudation HeatMap scans historical price movements for local highs and lows with elevated volume or candle range. It then draws dynamic heatmap boxes—shaded from lime (low interest) to yellow (high interest)—revealing potential zones of trapped positions or stop clusters. A vertical scale on the right shows you the relative strength of volume behind each level, from 0 to the highest detected.
🔵 CONCEPTS
Maps areas of potential liquidity using volume or candle range (if volume is unavailable).
Identifies swing highs/lows (pivots) and extends heatmap boxes outward from these levels. Colors each zone based on the relative strength of volume concentration.
Fades or removes zones once price crosses their midpoints, simulating the idea of liquidity being “consumed.”
Displays a live vertical scale that shows the volume range for quick reference.
🔵 FEATURES
Dynamic Heatmap Zones:
Draws few boxes above and after pivot highs and below pivot lows, each shaded based on volume concentration.
Smart Coloring System:
Uses a gradient from lime (low) to yellow (high) to visually distinguish between weak and strong liquidity zones.
Adaptive ATR Widths:
Automatically adjusts zone thickness based on volatility (ATR), scaling intelligently across timeframes.
Liquidity Consumption Logic:
Zones are stope extending once price interacts with them—mimicking the behavior of real liquidation sweeps.
Volume Scale Legend:
A real-time scale is plotted on the right side, showing the min-max range of volume used for heat calculations.
🔵 HOW TO USE
Look for thick yellow zones to identify areas of concentrated stop losses or liquidation triggers.
Use these levels to anticipate mean reversion points or high-volatility zones.
Combine with your trend or structure tools to trade into or fade these liquidity pools.
On lower timeframes, use this tool to confirm entries around sweeps or deviations.
Use the right-side scale to compare relative zone strength instantly.
🔵 CONCLUSION
Liqudation HeatMap is a powerful visualization tool that uncovers where liquidity likely resides on the chart. By highlighting hidden traps and reactive levels in real-time, it gives traders a significant edge when it comes to spotting stop hunts, mean reversions, and areas of institutional interest. Whether you’re scalping or swing trading, this heatmap provides unmatched context on the market’s hidden intent. インジケーター
